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Application of Mathematical Models and Fuzzy Regression Analysis to Determine the Microbial Growth Kinetic Coefficients and Predicting Quality of Treated Wastewater


Affiliations
1 Kharazmi University, Civil Engineering Department, Tehran, Iran, Islamic Republic of
2 Razavi Khorasan Regional Water Company, Iran, Islamic Republic of
 

In this study, using aeration tank sludge of Ekbatan, Tehran wastewater treatment in pilot lab scale and observing the amount of aeration, temperature, pH and concentration of feed inlet to the treatment plant, system efficiencies and changes in microbial growth were evaluated, and with the use and application of mathematical methods and Monod equations and finally by modelling the process using fuzzy regression analysis, kinetic coefficient values and output quality effluent of the plant were determined and predicted. The results of the ASM1 model for kinetic coefficients of Ks were determined as 31.2 gCOD/m3, μH as 3.9 day-1, bH as 0.077 day-1 and YH as 0.51gCOD XH (gCOD SS)-1. Activated sludge biological treatment process modelling using fuzzy regression analysis showed that correlation coefficient between the actual data and model for VSS, COD and SCOD equals to 0.97 by power function, 0.95 by linear function and 0.86 by power function respectively.

Keywords

Monod Model, Activated Sludge Model, Kinetic Coefficients, Biological Treatment, Fuzzy Regression Analysis.
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  • Application of Mathematical Models and Fuzzy Regression Analysis to Determine the Microbial Growth Kinetic Coefficients and Predicting Quality of Treated Wastewater

Abstract Views: 200  |  PDF Views: 0

Authors

Mohammad Delnavaz
Kharazmi University, Civil Engineering Department, Tehran, Iran, Islamic Republic of
Hossein Zangooei
Kharazmi University, Civil Engineering Department, Tehran, Iran, Islamic Republic of
Mohammad Zangooei
Razavi Khorasan Regional Water Company, Iran, Islamic Republic of

Abstract


In this study, using aeration tank sludge of Ekbatan, Tehran wastewater treatment in pilot lab scale and observing the amount of aeration, temperature, pH and concentration of feed inlet to the treatment plant, system efficiencies and changes in microbial growth were evaluated, and with the use and application of mathematical methods and Monod equations and finally by modelling the process using fuzzy regression analysis, kinetic coefficient values and output quality effluent of the plant were determined and predicted. The results of the ASM1 model for kinetic coefficients of Ks were determined as 31.2 gCOD/m3, μH as 3.9 day-1, bH as 0.077 day-1 and YH as 0.51gCOD XH (gCOD SS)-1. Activated sludge biological treatment process modelling using fuzzy regression analysis showed that correlation coefficient between the actual data and model for VSS, COD and SCOD equals to 0.97 by power function, 0.95 by linear function and 0.86 by power function respectively.

Keywords


Monod Model, Activated Sludge Model, Kinetic Coefficients, Biological Treatment, Fuzzy Regression Analysis.